Cancer treatment and immune system regulation through fat10 pathway inhibition

ABSTRACT

Described herein are methods of inhibiting mitosis, treating cancer and/or treating immune disorders through the use of agents that inhibit FAT10 and/or the FAT10 pathway.

RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No. 14/390,265, filed Oct. 2, 2014, which is the national stage filing under 35 U.S.C. §371 of PCT/US2013/034950, filed Apr. 2, 2013, which claims the benefit of U.S. Provisional Application No. 61/619,091, filed Apr. 2, 2012, the content of which is expressly incorporated by reference herein in its entirety.

GOVERNMENT INTEREST

This invention was made with Government support under National Institutes of Health Grant RO1 GM039023. The Government has certain rights in the invention.

BACKGROUND

The number of different proteins and protein isoforms in the human proteome is estimated to be about three orders of magnitude higher than the number of genes encoded in the genome. This diversity is largely due to post-translational modification of proteins, Such modifications can have a significant impact on protein function and stability.

The Ubiquitin-Like (Ubl) molecule family play a prominent role in post-transcriptional modification-based protein regulation. The Ubl molecule family are a class of evolutionarily conserved polypeptides that can be reversibly conjugated to lysine residues on the proteins they regulate through the formation of isopeptide bonds. The binding of a Ubl to a protein can affect the protein's activity, stability, cellular localization and/or its interaction with other proteins. Some Ubl conjugation pathways are known to be important in various human diseases, including in cancer, viral infection and neurodegenerative disorders. More than a dozen Ubl family members have been identified to date.

FAT10 is a Ubl that is homologous to di-ubiquitin and has been suggested to be the only Ubl modifier that targets proteins for degradation through conjugation. However, the only in vivo covalent substrates of FAT10 identified to date are Ube2z and p53. It is therefore unclear whether FAT10 acts as part of a signaling pathway or acts to funnel proteins to the proteasome for degradation. The role of FAT10 in human disease remains unknown.

SUMMARY

Provided herein are compositions and methods for the inhibition of mitosis, the inhibition of cellular proliferation, the induction of apoptosis, the treatment of cancer, the treatment of immune disorders and/or the identification of novel therapeutic agents.

In some embodiments, provided herein are methods for inhibiting mitosis, cellular proliferation and/or the induction of apoptosis in a cell. In some embodiments the methods described herein include contacting the cell with an agent that inhibits the FAT10 pathway in the cell (e.g., a cancer cell or an immune cell). In some embodiments the agent inhibits the FAT10 pathway by inhibiting the activity or expression of FAT10 in the cell. In some embodiments the cell is in a subject who has or is suspected of having cancer or an immune disorder. In some embodiments, the cell is subject to conditions that induce FAT10 expression, such as in the presence of pro-inflammatory cytokines.

In certain embodiments, provided herein are methods of treating cancer or an immune disorder in a subject. In some embodiments, the methods comprise the steps of administering to the subject an agent that inhibits the FAT10 pathway. In some embodiments the agent inhibits the FAT10 pathway by inhibiting the activity or expression of FAT10. In some embodiments the cancer is melanoma.

In certain embodiments of the methods described herein, the agent can be a small molecule, a polypeptide and/or an inhibitory nucleic acid. For example, the agent could be a small molecule that inhibits FAT10 activity or an inhibitory nucleic acid (e.g., siRNA, shRNA, antisense RNA) that is specific for FAT10 mRNA. In some embodiments the agent inhibits the formation of a conjugate between FAT10 and a FAT10 substrate (e.g., a FAT10 substrate encoded by a nucleic acid provided in FIG. 20).

In some embodiments, provided herein are methods for determining whether a test agent is a candidate therapeutic agent for treating cancer and/or immune disorders.

In some embodiments the method includes the steps of: a) forming a test reaction mixture comprising a FAT10 protein, a FAT10 substrate, a concentrated mammalian cell extract or a tissue sample (e.g., a tumor sample) and a test agent, b) incubating the test reaction under conditions conducive for the formation of a conjugate between the FAT10 protein and the FAT10 substrate (e.g., a FAT10 substrate encoded by a nucleic acid sequence provided in FIG. 20), and c) determining the amount of the conjugate in the test reaction mixture. In general, a test agent that reduces the amount of the conjugate in the test reaction mixture compared to the amount of the conjugate in a control reaction mixture is a candidate therapeutic agent for the treatment of cancer and/or immune disorders. The control reaction mixture can be, for example, a reaction mixture that is substantially identical to the test reaction mixture except that the control reaction mixture does not comprise a test agent or a reaction mixture that is substantially identical to the test reaction mixture except that the control reaction mixture comprises a placebo agent instead of a test agent. In some embodiments, the FAT10 protein and/or the FAT10 substrate is linked (directly or indirectly) to a detectable moiety. In some embodiments, the FAT10 protein and/or the FAT10 substrate is anchored (either directly or indirectly) to a solid support. In some embodiments, the FAT10/FAT10 substrate conjugate is isolated from unconjugated FAT10 protein and/or unconjugated FAT10 substrate.

In some embodiments the method includes the steps of: a) contacting a cell, a cell extract or a tissue sample (e.g., a tumor sample)with the test agent, and b) detecting the expression or activity of FAT10 in the cell, cell extract or tissue sample. In general, a test agent that decreases the expression or activity of FAT10 in a cell is a candidate therapeutic agent for treating cancer and/or immune disorders. In some embodiments, expression of FAT10 is detected in a cell by detecting FAT10 mRNA level or FAT10 protein level in the cell. In some embodiments, the activity of FAT10 is detected in a cell, cell extract or tissue sample by detecting a conjugate that includes FAT10 and a FAT10 substrate (e.g., a FAT10 substrate encoded by a nucleic acid provided in FIG. 20).

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 shows an example of selecting the set of “reactive proteins” for ubiquitin. Signal intensity values (α-poly ubiquitin antibody: y-axis) were plotted against the RFU values (relative abundance on the chip; x-axis) for each spot. The RFU range was then divided into 100 equal-sized bins and the mean and SD intensity values for the spots in each bin were calculated, Based on the complementary error function each protein was assigned a p-value (FDR corrected) and proteins that had p<0.05 were selected (orange: p<0.05; blue: p>=0.05). Note that the y-axis for signal intensity is on a log scale.

FIG. 2 shows the experimental design for the Ubl modification assay. Mitotic HeLa S3 cell extract were incubated on protein microarrays with or without the addition of Ubch10, a protein that abrogates the checkpoint arrest and allows the extracts to proceed toward mitotic exit. Ubl modifications on the spotted proteins are then measured by labeling the arrays with UBL-specific antibodies, and fluorescently-labeled secondary antibodies are used to quantify the reactivity profile of the ˜8000 proteins on the array toward each Ubl modification.

FIG. 3 shows a list of the protein targets (by official gene symbol) that passed the reactivity threshold for each of the Ubl modifiers. Each column represents one Ubl. A shaded box indicates an interaction between the protein and the Ubl was detected, while a white box indicates that no interaction between the protein and Ubl was detected.

FIG. 4A shows examples of known Ubl targets and Ubl pathway enzymes identified by the assay. A grey box denotes reactivity toward that Ubl, while a black box indicates no interaction. FIG. 4B shows the Ubl interaction network. Each protein is connected to the Ubl with which it interacts. Proteins that have multiple Ubls interactions are shown at the center and proteins that are reactive exclusively with one Ubl are shown at the rim. FIG. 4C shows the number of proteins targeted by each Ubl showing specificity of the Ubl pathways.

FIG. 5 shows a comparison of the observed distribution of Ubl reactivities with expected distribution for a random Ubl network

FIG. 6 shows an enrichment analyses of “molecular functions” among Ubl targets, assessed by over-representation of Gene Ontology (GO) terms for the targets of each Ubl and a detailed breakdown of the subset of 189 kinases in the network, and their Uhl specificities, showing an extensive crosstalk between kinases and different Ubl modifiers.

FIG. 7 shows an enrichment analyses of “biological processes” among Ubl targets.

FIG. 8 shows the validation of in vitro SUMOylation of known and predicted kinases. Each reaction was performed by adding a S35-labeled substrate into a test tube containing E1, E2, ATP and either recombinant SUMO1, SUMO2 proteins, Reactions were carried out for 2 hours at room temperature. Negative control (right lane of each gel) was performed under the same conditions without adding the E1 enzyme.

FIG. 9 shows that FAT10 targets are involved in cell cycle regulation and mitotic progression. Signal intensity of FAT10ylated protein targets was measured under nocodazole arrest and upon release from mitotic arrest. Four different replicate spots for each substrate under the two conditions were compared using ANOVA and the resulting p-values indicating the significant change in Ubl modification were plotted (ascending order) for each Uhl separately. The two dotted lines indicate p-value cutoff levels of 0.1 and 0.05 as seen by the orange and brown lines. The y-axis denoted the cumulative number of target proteins that showed the stated significance in differential reactivity. Duplicate spots of a RATIO modified substrate under the two conditions, showing differences in reactivity.

FIG. 10 shows the effect of different conditions on FAT10ylation signal. FAT10 signal intensity values of all proteins using two different antibodies x-axis: peptide epitope. BioMol; y-axis: whole protein epitope, BioMol). FAT10 signal intensity values of all proteins on the array with and without washes (3×) with 0.5% SDS.

FIG. 11 shows FAT10 targets that mapped onto a the known interaction network for cell cycle regulation.

FIG. 12 shows a subset of proteins that are differentially modified by FAT10 described to have either a mitotic or death phenotype by RNA interference as reported in the “mitocheck” database.

FIG. 13 shows the cellular localization of Ube2Z: and FAT10 in interphase and mitotic cells. Immunofluorescence using either anti-Ube2Z and anti-FAT10 antibodies was done in order to detect their signal in the cell both in mitosis and interphase. A representative cell of more than 30 cells is given.

FIG. 14 shows that inhibition of the FAT10 pathway using RNA interference leads to mitotic arrest. HeLa cells were synchronized using double-thymidine block and released into fresh medium for 15 hours to follow cell cycle progression. Aliquots were taken for Western blot analysis of Ube2z, FAT10, Securin and Actin protein levels at the indicated time points. In additions, samples were taken at the same time for FACS analysis in order to follow cell cycle progression after synchronization.

FIG. 15 shows that Ube2Z is stabilized in cells arrested with nocodazole. cells were synchronized by double thymidine block and released into medium containing nocodazole. Samples were aliquoted at the indicated time points and analyzed using propidiume iodide staining by FACS in order to determined cell cycle stage. In addition, samples were collected in the same time points for protein analysis of the indicated proteins using SDS-PAGE and western blot,

FIG. 16 shows that inhibition of ube2z, the FAT10-conjugating enzyme or of FAT10 leads to prolonged mitotic arrest that is followed by apoptosis. HeLa cells transfected with siRNA to ube2z or FAT10 exhibited prolonged arrest in mitosis when compared to control treated cells. The arrest in mitosis led to cell death as can be seen by the reduced number of cells in the Uhe2z or FAT10 siRNA treated cells. Three different examples are given for each condition.

FIG. 17 shows that inhibition of the FAT10 pathway using RNA interference leads to mitotic arrest. The duration of mitosis was quantified from time lapse movies. Cells treated with siRNA for Ube2z or FAT10 spent a significantly longer time in mitosis (p<0.05) when compared to cells treated with control siRNA. Error bars depict mean and standard deviation.

FIG. 18 shows that inhibition of the FAT pathway using RNA interference leads to mitotic arrest and cell death. A representative cell (n>30 per condition) undergoing mitosis for each of the different condition (0=A⁻1′10, siUbe2z and siControl) is presented. Quantitation of the percentage of cells in interphase (left), mitosis (middle) and percentage of dead cells (right) in each of the conditions during the course of the experiment.

FIG. 19 shows the nucleic acid sequence and the amino acid sequence of human FAT10 (SEQ ID NO: 1 and 2, respectively).

FIG. 20 shows the nucleic acid sequences that encode exemplary FAT10 substrates (SEQ ID NO: 3-465, respectively).

FIG. 21 shows tumor growth rate of B16 melanoma tumor cells in FAT10 KO (Squares) and FAT10 wt (Diamonds) mice. 1×10⁵ cells were injected into C57BL/6 mice and tumor volume (mm³) was assessed every other day.

FIG. 22 shows FAT10 gene expression in immune and cancer cells under the stated conditions. Percentile refers to the relative level of expression of FAT10 versus the most highly expressed genes in that cell type and condition.

DETAILED DESCRIPTION General

Provided herein are compositions and methods for the inhibition of mitosis, the inhibition of cellular proliferation, the induction of apoptosis, the treatment of cancer, the treatment of immune disorders and/or the identification of novel therapeutic agents.

As described herein, analysis of Ubiquitin-like protein (Ubl) modification profiles upon cellular release from nocodazole arrest for Ubiquitin, SUMO1, SUMO2/3, NEDD8, UFM1, FAT10 and ISG15 showed that all but two Ubl pathways altered at least some of their targets during mitosis, indicating that post-transcriptional modification by Ubls plays an important role in mitotic regulation. Among the Ubls investigated, FAT10 exhibited the most dramatic changes in signal intensity and number of differentially-modified proteins. Although FAT10 itself was identified more than a decade ago, little is known about what it regulates. The experiments described herein identified a number of FAT10 substrates (e.g., those listed in FIGS. 3 and 10).

As described herein, the reactivity pattern of FAT10 was strikingly different from that of ubiquitin during the metaphase-anaphase transition. While the poly-ubiquitylation signal increases strongly, the FAT10 signal decreased for 76 out of 106 targets. In support of the importance of FAT10 in mitosis, inhibiting the FAT10 pathway by knocking-down FAT10 or its E2-conjugating enzyme (Ube2z) resulted in a clear prolongation of the mitotic arrest, followed by cell death. What is more, a significant fraction of the FAT10 pathway members identified in the studies described herein are important regulators of immune function and/or play a role in tumorigenesis and cancer pathogenesis. Examples of FAT10 pathway members that have an immune function are provided in Table 1. Thus, FAT10 is an attractive target for mitotic inhibition and the treatment of cancer and immune disorders.

TABLE 1 Exemplary FAT10 pathway members with immune function. Gene Symbol Gene Function Protein Seq. ELK3 T cell activation NP_005221.2 GAL alpha-beta T cell activation NP_057057.2 IGF2 Immune response-regulating cell NP_000603.1 surface receptor signaling pathway ABCF1 positive regulation of immune NP_001020262.1 system process POLR3C regulation of immune NP_006459.3 effector process STAT6 regulation of lymphocyte NP_001171549.1 activation AGER regulation of leukocyte activation NP_001127.1 KIAA1715 negative regulation of NP_085153.1 lymphocyte activation SFXN1 negative regulation of immune NP_073591.2 system process SDC1 response to wounding NP_001006947.1 HP defense response NP_001119574.1 TRAT1 inflammatory response NP_057472.2 CLEC7A regulation of lymphocyte NP_072092.2 activation HPR T cell activation NP_066275.3 RPS6KB1 alpha-beta T cell activation NP_003152.1 SMAD3 regulation of leukocyte activation NP_001138574.1 ADORA2A positive regulation of immune NP_000666.2 system process LAT regulation of immune NP_001014987.1 effector process IL15 regulation of lymphocyte NP_000576.1 proliferation MICB positive regulation of B NP_005922.2 cell activation LIG3 positive regulation of NP_002302.2 immune response SPAG11B regulation of alpha-beta NP_057596.1 T cell activation HSH2D positive regulation of NP_116244.1 lymphocyte activation MMP9 immune system development NP_004985.2 SPAG11A lymphocyte differentiation NP_001075021.2 GATA3 T cell activation NP_002042.1 S100A12 inflammatory response NP_005612.1 VEGFA T cell activation NP_001020537.2 CCR9 immune response NP_001243298.1 HDAC4 B cell activation NP_006028.2 DHX58 innate immune response NP_077024.2 IL32 immune response NP_001012649.1 FKBP1B T cell proliferation NP_004107.1 INS alpha-beta T cell activation NP_000198.1 IL9 immune response NP_000581.1 PRKCQ positive regulation of NP_001229342.1 T cell activation NMI inflammatory response NP_004679.2 BNIP3L defense response to virus NP_004322.1 SYK B cell receptor signaling pathway NP_001128524.1 CXorf9 positive regulation of B NP_061863.1 cell proliferation VSTM3 negative regulation of NP_776160.2 T cell activation IFNW1 defense response NP_002168.1 DEFB4 immune response NP_004933.1 PIK3R1 T cell receptor signaling pathway NP_001229395.1 RSAD2 defense response to virus NP_542388.2

Thus, in certain embodiments described herein are methods of inhibiting mitosis, inhibiting proliferation and/or inducing apoptosis in a cell by contacting the cell with an agent that inhibits the FAT10 pathway, such as an agent that inhibits FAT10 expression and/or activity. In some embodiments, described herein are methods of treating cancer and/or immune disorders through the inhibition of the FAT10 pathway. In some embodiments described herein are methods of identifying mitotic inhibitors and/or potential cancer or immune disorder therapeutics by identifying agents that inhibit the FAT10 pathway, such as agents that inhibit FAT10 expression and/or activity.

Definitions

For convenience, certain terms employed in the specification, examples, and appended claims are collected here.

The articles “a” and “an” are used herein to refer to one or to more than one (i.e., to at least one) of the grammatical object of the article. By way of example, “an element” means one element or more than one element.

As used herein, the term “administering” means providing a pharmaceutical agent or composition to a subject, and includes, but is not limited to, administering by a medical professional and self-administering.

The term “agent” is used herein to denote a chemical compound, a small molecule, a mixture of chemical compounds, or a biological macromolecule. Agents may be identified as having a particular activity by screening assays described herein below. The activity of such agents may render them suitable as a “therapeutic agent” which is a biologically, physiologically, or pharmacologically active substance (or substances) that acts locally or systemically in a subject.

The term “amino acid” is intended to embrace all molecules, whether natural or synthetic, which include both an amino functionality and an acid functionality and capable of being included in a polymer of naturally-occurring amino acids. Exemplary amino acids include naturally-occurring amino acids; analogs, derivatives and congeners thereof; amino acid analogs having variant side chains; and all stereoisomers of any of any of the foregoing.

As used herein, the term “cancer” includes, but is not limited to, solid tumors and blood borne tumors. The term cancer includes diseases of the skin, tissues, organs, bone, cartilage, blood and vessels. The term “cancer” further encompasses primary and metastatic cancers.

The term “control” includes any portion of an experimental system designed to demonstrate that the factor being tested is responsible for the observed effect, and is therefore useful to isolate and quantify the effect of one variable on a system.

The term “FAT10 inhibitor” or “agent that inhibits FAT10” refers to an agent that decreases the level of FAT10 protein and/or decreases at least one activity of a FAT10 protein. In an exemplary embodiment, a FAT10-inhibing compound may decrease at least one biological activity of a FAT10 protein by at least about 10%, 25%, 50%, 75%, 100%, or more. Exemplary biological activities of FAT10 proteins include the formation of a conjugate between of FAT10 protein to FAT10 substrates (e.g., those encoded by SEQ ID NO: 3-465) and the proteasome-mediated degradation of FAT10 substrates.

The term “FAT10 pathway” refers to the network of interacting proteins regulated by FAT10 and proteins that regulate FAT10. Exemplary proteins that are components of the FAT10 pathway are provided in FIGS. 3 and 20. Members of the FAT10 pathway that regulate FAT10 activity include the El ligase Uba6 and the E2 ligase Ube2z.

As used herein, the term “immune cell” refers to the cells that make up the innate and the adaptive immune system. Exemplary immune cells include T cells, B cells, macrophages, dendritic cells, natural killer cells, monocytes, neutrophils, eosinophils, basophils and mast cells.

As used herein, the term “immune disorder” refers to any disease, disorder or disease symptom caused by an activity of the immune system, including autoimmune diseases, inflammatory diseases and allergies.

The terms “polynucleotide”, and “nucleic acid” are used interchangeably. They refer to a polymeric form of nucleotides of any length, either deoxyribonucleotides or ribonucleotides, or analogs thereof. Polynucleotides may have any three-dimensional structure, and may perform any function, known or unknown. The following are non-limiting examples of polynucleotides: coding or non-coding regions of a gene or gene fragment, loci (locus) defined from linkage analysis, exons, introns, messenger RNA (mRNA), transfer RNA, ribosomal RNA, ribozymes, cDNA, recombinant polynucleotides, branched polynucleotides, plasmids, vectors, isolated DNA of any sequence, isolated RNA of any sequence, nucleic acid probes, and primers. A polynucleotide may comprise modified nucleotides, such as methylated nucleotides and nucleotide analogs. If present, modifications to the nucleotide structure may be imparted before or after assembly of the polymer. The sequence of nucleotides may be interrupted by non-nucleotide components. A polynucleotide may be further modified, such as by conjugation with a labeling component. The term “recombinant” polynucleotide means a polynucleotide of genomic, cDNA, semisynthetic, or synthetic origin which either does not occur in nature or is linked to another polynucleotide in a non-natural arrangement.

A “patient” or “subject” refers to either a human or a non-human animal.

The term “small molecule” is art-recognized and refers to a composition which has a molecular weight of less than about 2000 amu, or less than about 1000 amu, and even less than about 500 amu. Small molecules may be, for example, nucleic acids, peptides, polypeptides, peptide nucleic acids, peptidomimetics, carbohydrates, lipids or other organic (carbon containing) or inorganic molecules. Many pharmaceutical companies have extensive libraries of chemical and/or biological mixtures, often fungal, bacterial, or algal extracts, which can be screened with any of the assays described herein. The term “small organic molecule” refers to a small molecule that is often identified as being an organic or medicinal compound, and does not include molecules that are exclusively nucleic acids, peptides or polypeptides.

The phrases “therapeutically-effective amount” and “effective amount” as used herein means that amount of a compound, material, or composition comprising a compound described herein which is effective for producing some desired therapeutic effect in at least a sub-population of cells in an animal at a reasonable benefit/risk ratio applicable to any medical treatment.

“Treating” a disease in a subject or “treating” a subject having a disease refers to subjecting the subject to a pharmaceutical treatment, e.g., the administration of a drug, such that at least one symptom of the disease is decreased or prevented from worsening.

FAT10 Proteins and FAT10 Substrate Proteins

As used herein, the term “FAT10” or “FAT10 protein” refers to the small, Ubiquitin-like modifier encoded in the major histocompatibility complex that is composed of two ubiquitin-like domains and possessing a free C-terminal diglycine motif, as well as functional domains, fragments (e.g., functional fragments), e.g., fragments of at least 8 amino acids, e.g., at least 8, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110 or 120 amino acids, and variants thereof. Exemplary functional fragments of FAT10 can, for example, form conjugates with FAT10 substrates and thereby regulate the stability and/or function of the FAT10 substrate. Exemplary FAT10 proteins include those having an amino acid sequence of SEQ ID NO: 2 (provided in FIG. 19). Homologs of FAT10 proteins will share 60%, 80%, 85%, 90%, 95%, 98%, 99% sequence identity to a known FAT10 protein and, e.g., form conjugates with FAT10 substrates. Variants of FAT10 proteins can be produced by standard means, including site-directed and random mutagenesis.

In certain embodiments, it may be advantageous to provide homologs of FAT10 protein that lack certain aspects of FAT10 activity. Such homologs may function as a modulator that inhibit a subset of the biological activities of naturally-occurring FAT10. For example, addition of two alanine residues to the C-terminus of FAT10 prevents it from conjugating with FAT10 substrates. Thus, antagonistic homologs may be generated which interfere with the ability of the wild-type FAT10 protein to associate with certain proteins (e.g., proteins that mediate the conjugation to FAT10 substrates).

As used herein, the term “FAT10 substrate” or “FAT10 substrate protein” refers to a protein that forms a conjugate with FAT10 during a natural biological process. Exemplary FAT10 substrates include those encoded by the nucleic acid sequences provided in FIG. 20 and SEQ ID NO: 3-465. In some embodiments, conjugation of FAT10 to a FAT10 substrate results in the proteasome-mediated degradation of the FAT10 substrate. FAT10 substrates are components of the FAT10 pathway.

In certain embodiments, a protein described herein is further linked to a heterologous polypeptide, e.g., a polypeptide comprising a domain which increases its solubility and/or facilitates its purification, identification, detection, and/or structural characterization. A protein described herein may be linked to at least 2, 3, 4, 5, or more heterologous polypeptides. Polypeptides may be linked to multiple copies of the same heterologous polypeptide or may be linked to two or more heterologous polypeptides. The proteins may also include linker sequences between a protein described herein and the fusion domain in order to facilitate construction of the fusion protein or to optimize protein expression or structural constraints of the fusion protein.

In another embodiment, a protein may be modified so that its rate of traversing the cellular membrane is increased. For example, the polypeptide may be fused to a second peptide which promotes “transcytosis,” e.g., uptake of the peptide by cells. The peptide may be a portion of the HIV transactivator (TAT) protein, such as the fragment corresponding to residues 37-62 or 48-60 of TAT, portions which have been observed to be rapidly taken up by a cell in vitro (Green and Loewenstein, (1989) Cell 55:1179-1188). Alternatively, the internalizing peptide may be derived from the Drosophila antennapedia protein, or homologs thereof. The 60 amino acid long homeodomain of the homeo-protein antennapedia has been demonstrated to translocate through biological membranes and can facilitate the translocation of heterologous polypeptides to which it is coupled. Thus, the polypeptide may be fused to a peptide consisting of about amino acids 42-58 of Drosophila antennapedia or shorter fragments for transcytosis (Derossi et al. (1996) J Biol Chem 271:18188-18193; Derossi et al. (1994) J Biol Chem 269:10444-10450; and Perez et al. (1992) J Cell Sci 102:717-722). The transcytosis polypeptide may also be a non-naturally-occurring membrane-translocating sequence (MTS), such as the peptide sequences disclosed in U.S. Pat. No. 6,248,558.

FAT10 Nucleic Acids and FAT10 Substrate Nucleic Acids

Nucleic acids encoding any of the proteins described herein (e.g. FAT10 and FAT10 substrates) are also provided herein. The nucleic acid sequence of human FAT10 is provided in FIG. 19 and SEQ ID NO: 1. The nucleic acid sequence of exemplary FAT10 substrates are provided in FIG. 20 and SEQ ID NO: 3-465. Such a nucleic acid may further be linked to a promoter and/or other regulatory sequences, as further described herein. Exemplary nucleic acids are those that are at least about 80%, 85%, 90%, 95%, 98%, 99% or 100% identical to a nucleotide sequence provided herein or a fragment thereof, such as nucleic acid sequence encoding the protein fragments described herein. Nucleic acids may also hybridize specifically, e.g., under stringent hybridization conditions, to a nucleic acid described herein or a fragment thereof.

Nucleic acids, e.g., those encoding a protein described above, a functional homolog thereof, or a nucleic acid intended to inhibit the production of a protein of interest (e.g., siRNA, shRNA or antisense RNA, described in greater detail below) can be delivered to cells in culture, ex vivo, and in vivo. The delivery of nucleic acids can be by any technique known in the art including viral mediated gene transfer, liposome mediated gene transfer, direct injection into a target tissue, organ, or tumor, injection into vasculature which supplies a target tissue or organ.

Polynucleotides can be administered in any suitable formulations known in the art. These can be as virus particles, as naked DNA, in liposomes, in complexes with polymeric carriers, etc. Polynucleotides can be administered to the arteries which feed a tissue or tumor.

Nucleic acids can be delivered in any desired vector. These include viral or non-viral vectors, including adenovirus vectors, adeno-associated virus vectors, retrovirus vectors, lentivirus vectors, and plasmid vectors. Exemplary types of viruses include HSV (herpes simplex virus), AAV (adeno associated virus), HIV (human immunodeficiency virus), BIV (bovine immunodeficiency virus), and MLV (murine leukemia virus). Nucleic acids can be administered in any desired format that provides sufficiently efficient delivery levels, including in virus particles, in liposomes, in nanoparticles, and complexed to polymers.

A polynucleotide of interest can also be combined with a condensing agent to form a gene delivery vehicle. The condensing agent may be a polycation, such as polylysine, polyarginine, polyornithine, protamine, spermine, spermidine, and putrescine. Many suitable methods for making such linkages are known in the art.

In an alternative embodiment, a polynucleotide of interest is associated with a liposome to form a gene delivery vehicle. Liposomes are small, lipid vesicles comprised of an aqueous compartment enclosed by a lipid bilayer, typically spherical or slightly elongated structures several hundred Angstroms in diameter. Under appropriate conditions, a liposome can fuse with the plasma membrane of a cell or with the membrane of an endocytic vesicle within a cell which has internalized the liposome, thereby releasing its contents into the cytoplasm. Prior to interaction with the surface of a cell, however, the liposome membrane acts as a relatively impermeable barrier which sequesters and protects its contents, for example, from degradative enzymes. Additionally, because a liposome is a synthetic structure, specially designed liposomes can be produced which incorporate desirable features. See Stryer, Biochemistry, pp. 236-240, 1975 (W. H. Freeman, San Francisco, Calif.); Szoka et al., Biochim. Biophys. Acta 600:1, 1980; Bayer et al., Biochim. Biophys. Acta. 550:464, 1979; Rivnay et al., Meth. Enzymol. 149:119, 1987; Wang et al., PROC. NATL. ACAD. SCI. U.S.A. 84: 7851, 1987, Plant et al., Anal. Biochem. 176:420, 1989, and U.S. Pat. No. 4,762,915. Liposomes can encapsulate a variety of nucleic acid molecules including DNA, RNA, plasmids, and expression constructs comprising growth factor polynucleotides such those described herein

Liposomal preparations for use in the methods described herein include cationic (positively charged), anionic (negatively charged) and neutral preparations. Cationic liposomes have been shown to mediate intracellular delivery of plasmid DNA (Felgner et al., Proc. Natl. Acad. Sci. USA 84:7413-7416, 1987), mRNA (Malone et al., Proc. Natl. Acad. Sci. USA 86:6077-6081, 1989), and purified transcription factors (Debs et al., J. Biol. Chem. 265:10189-10192, 1990), in functional form. Cationic liposomes are readily available. For example, N[1-2,3-dioleyloxy)propyl]-N,N,N-triethylammonium (DOTMA) liposomes are available under the trademark Lipofectin, from GIBCO BRL, Grand Island, N.Y. See also Felgner et al., Proc. Natl. Acad. Sci. USA 91: 5148-5152.87, 1994. Other commercially available liposomes include Transfectace (DDAB/DOPE) and DOTAP/DOPE (Boerhinger). Other cationic liposomes can be prepared from readily available materials using techniques well known in the art. See, e.g., Szoka et al., Proc. Natl. Acad. Sci. USA 75:4194-4198, 1978; and WO 90/11092 for descriptions of the synthesis of DOTAP (1,2-bis(oleoyloxy)-3-(trimethylammonio)propane) liposomes.

Similarly, anionic and neutral liposomes are readily available, such as from Avanti Polar Lipids (Birmingham, Ala.), or can be easily prepared using readily available materials. Such materials include phosphatidyl choline, cholesterol, phosphatidyl ethanolamine, dioleoylphosphatidyl choline (DOPC), dioleoylphosphatidyl glycerol (DOPG), dioleoylphoshatidyl ethanolamine (DOPE), among others. These materials can also be mixed with the DOTMA and DOTAP starting materials in appropriate ratios. Methods for making liposomes using these materials are well known in the art.

Inhibitors of the FAT10 Pathway

Certain embodiments described herein relate to methods of inhibiting mitosis, inhibiting cellular proliferation, causing apoptosis, treating cancer and/or treating an immune disorder. These methods involve administering an agent that inhibits the FAT10 pathway. For example, such agents may inhibit the activity and/or expression of FAT10. Agents which may be used to inhibit the FAT10 pathway and/or FAT10 include proteins, peptides, small molecules and inhibitory RNA molecules, e.g., siRNA molecules, shRNA, ribozymes, and antisense oligonucleotides.

Any agent that inhibits FAT10 and/or the FAT10 pathway can be used to practice certain methods described herein. Such agents can be those described herein, those known in the art, or those identified through screening assays (e.g. the screening assays described herein).

In some embodiments, assays used to identify agents useful in the methods described herein include a reaction between FAT10 and one or more assay components. The other components may be, for example, a test agent (e.g. the potential agent), or a combination of a test agent and a FAT10 substrate (e.g. the FAT10 substrates provided in FIGS. 3 and 20). Agents identified via such assays, such as those described herein, may be useful, for example, for inhibiting mitosis, treating cancer or treating immune disorders.

Agents useful in the methods described herein may be obtained from any available source, including systematic libraries of natural and/or synthetic compounds. Agents may also be obtained by any of the numerous approaches in combinatorial library methods known in the art, including: biological libraries; peptoid libraries (libraries of molecules having the functionalities of peptides, but with a novel, non-peptide backbone which are resistant to enzymatic degradation but which nevertheless remain bioactive; see, e.g., Zuckermann et al., 1994, J Med. Chem. 37:2678-85); spatially addressable parallel solid phase or solution phase libraries; synthetic library methods requiring deconvolution; the ‘one-bead one-compound’ library method; and synthetic library methods using affinity chromatography selection. The biological library and peptoid library approaches are limited to peptide libraries, while the other four approaches are applicable to peptide, non-peptide oligomer or small molecule libraries of compounds (Lam, 1997, Anticancer Drug Des. 12:145).

Examples of methods for the synthesis of molecular libraries can be found in the art, for example in: DeWitt et al. (1993) Proc. Natl. Acad. Sci. U.S.A. 90:6909; Erb et al. (1994) Proc. Natl. Acad. Sci. USA 91:11422; Zuckermann et al. (1994). J. Med. Chem. 37:2678; Cho et al. (1993) Science 261:1303; Carrell et al. (1994) Angew. Chem. Int. Ed. Engl. 33:2059; Carell et al. (1994) Angew. Chem. Int. Ed. Engl. 33:2061; and in Gallop et al. (1994) J. Med. Chem. 37:1233.

Libraries of agents may be presented in solution (e.g., Houghten, 1992, Biotechniques 13:412-421), or on beads (Lam, 1991, Nature 354:82-84), chips (Fodor, 1993, Nature 364:555-556), bacteria and/or spores, (Ladner, U.S. Pat. No. 5,223,409), plasmids (Cull et al, 1992, Proc Natl Acad Sci USA 89:1865-1869) or on phage (Scott and Smith, 1990, Science 249:386-390; Devlin, 1990, Science 249:404-406; Cwirla et al, 1990, Proc. Natl. Acad. Sci. 87:6378-6382; Felici, 1991, J Mol. Biol. 222:301-310; Ladner, supra.).

Agents useful in the methods described herein may be identified, for example, using assays for screening candidate or test compounds which inhibit the formation of a conjugate between FAT10 or a biologically active portion thereof and a FAT10 substrate.

In some embodiments, the assay systems used to identify compounds that modulate the activity of FAT10 involves preparing a reaction mixture containing FAT10 and a FAT10 substrate under conditions and for a time sufficient to allow FAT10 to conjugate to its substrate. For example, such conditions can be established through the use of a concentrated cell extract. Use of such extracts are described, for example, in the exemplification and in Merbl and Kirschner, Proc Natl Acat Sci USA 106:2543-2548 (2009), which is hereby incorporated by reference in its entirety. In some embodiments a tissue sample, such as a tumor sample, is used to establish conditions to facilitate conjugation of FAT10 to its substrate. In some embodiments, the FAT10 and/or the FAT10 substrate is linked, either directly or indirectly, to a detectable moiety (e.g., a radioactive, fluorescent, luminescent and/or enzymatic moiety) to facilitate its detection. In order to test an agent for activity, a reaction mixture is prepared in the presence of the compound and a control reaction mixture is prepared in the absence of the test compound. The control reaction mixture may also contain a placebo agent. The test compound can be initially included in the reaction mixture, or can be added at a time subsequent to the addition of FAT10 and its substrate. Control reaction mixtures are incubated without the test compound or with a placebo. The conjugation of the substrate by FAT10 is then detected. Substrate conjugation can be detected by any method known in the art including, but not limited to, using anti-FAT10 antibodies and/or detectably labeled FAT10 and/or substrate to detect the level of conjugation. Conjugation of the substrate in the control reaction, but less or no such conjugation in the reaction mixture containing the test compound, indicates that the compound decreases with the activity of FAT10.

The assay for agents that inhibit the interaction of FAT10 with its binding partner may be conducted in a heterogeneous or homogeneous format. Heterogeneous assays involve anchoring either FAT10 or its substrate onto a solid phase and detecting conjugates anchored to the solid phase at the end of the reaction. In homogeneous assays, the entire reaction is carried out in a liquid phase. In either approach, the order of addition of reactants can be varied to obtain different information about the agents being tested. For example, test compounds that interfere with the interaction between FAT10 and the binding partner (e.g., by competition) can be identified by conducting the reaction in the presence of the test substance, i.e., by adding the test substance to the reaction mixture prior to or simultaneously with FAT10 and its interactive binding partner. Alternatively, test compounds that disrupt preformed conjugates can be tested by adding the test compound to the reaction mixture after conjugates have been formed. The various formats are briefly described below.

In a heterogeneous assay system, either FAT10 or its substrate is anchored onto a solid surface or matrix, while the other corresponding non-anchored component may be labeled, either directly or indirectly. In practice, microtitre plates are often utilized for this approach. The anchored species can be immobilized by a number of methods, either non-covalent or covalent, that are well known in the art. Non-covalent attachment can often be accomplished simply by coating the solid surface with a solution of FAT10 or its substrate and drying. Alternatively, an immobilized antibody specific for the assay component to be anchored can be used for this purpose.

A homogeneous assay may also be used to identify inhibitors of FAT10. This is typically a reaction, analogous to those mentioned above, which is conducted in a liquid phase in the presence or absence of the test agent. The formed conjugates are then separated from unconjugated components, and the amount of conjugate formed is determined. As mentioned for heterogeneous assay systems, the order of addition of reactants to the liquid phase can yield information about which test compounds inhibit conjugate formation and which disrupt preformed conjugates.

In such a homogeneous assay, the reaction products may be separated from unreacted assay components by any of a number of standard techniques, including but not limited to: differential centrifugation, chromatography, electrophoresis and immunoprecipitation. In differential centrifugation, conjugates of molecules may be separated from unconjugated molecules through a series of centrifugal steps, due to the different sedimentation equilibria of conjugates based on their different sizes and densities (see, for example, Rivas, G., and Minton, A. P., Trends Biochem Sci 1993 Aug;18(8):284-7). Standard chromatographic techniques may also be utilized to separate conjugated molecules from unconjugated ones. For example, gel filtration chromatography separates molecules based on size, and through the utilization of an appropriate gel filtration resin in a column format, for example, the relatively larger conjugate may be separated from the relatively smaller unconjugated components. Immunoprecipitation is another common technique utilized for the isolation of a protein-protein conjugates from solution (see, e.g., Ausubel et al (eds.), In: Current Protocols in Molecular Biology, J. Wiley & Sons, New York. 1999). In this technique, all proteins binding to an antibody specific to one of the binding molecules are precipitated from solution by conjugating the antibody to a bead that may be readily collected by centrifugation or through the application of a magnetic field. The bound assay components may be released from the beads, and a second immunoprecipitation step performed, this time utilizing antibodies specific for the correspondingly different interacting assay component. Alternatively, the presence of the second assay component in the immunoprecipitated fraction can detected directly using a detectable label, for example, a detectable label linked either directly or indirectly to FAT10 or its substrate.

In another embodiment, agents useful in the methods described herein may be identified using assays for screening candidate or test compounds which bind to FAT10 or a biologically active portion thereof. Determining the ability of the test agent to directly bind to FAT10 can be accomplished, for example, by coupling the compound with a detectable label such that binding of the compound to FAT10 can be determined by detecting the labeled compound in a complex. For example, compounds can be labeled with ¹²⁵I, ³⁵S, ¹⁴C, or ³H, either directly or indirectly, and the radioisotope detected by direct counting of radioemission or by scintillation counting. Alternatively, assay components can be enzymatically labeled with, for example, horseradish peroxidase, alkaline phosphatase, or luciferase, and the enzymatic label detected by determination of conversion of an appropriate substrate to product.

Modulators of FAT10 expression may also be identified, for example, using methods wherein a cell is contacted with a candidate compound and the expression of FAT10 mRNA or protein is determined. The level of expression of mRNA or protein in the presence of the candidate compound is compared to the level of expression of mRNA or protein in the absence of the candidate compound. The candidate compound can then be identified as a modulator of FAT10 expression based on this comparison. For example, when expression of FAT10 is greater in the presence of the candidate compound than in its absence, the candidate compound is identified as a stimulator of FAT10 mRNA or protein expression. Conversely, when expression of FAT10 is less in the presence of the candidate compound than in its absence, the candidate compound is identified as an inhibitor of FAT10 mRNA or protein expression.

Inhibitory Nucleic Acid Molecules

In certain embodiments, inhibitory nucleic acid molecules that specifically target FAT10 mRNA or FAT10 pathway component mRNA (e.g., antisense molecules, siRNA or shRNA molecules, ribozymes or triplex molecules) are used in methods described herein. Such molecules are useful, for example, in methods of inhibiting mitosis, inhibiting proliferation, inducing apoptosis, treating cancer and/or treating immune disorders.

The inhibitory nucleic acid molecules described herein may be contacted with a cell or administered to an organism. Alternatively, constructs encoding these may be contacted with or introduced into a cell or organism. Antisense constructs, antisense oligonucleotides, RNA interference constructs or siRNA duplex RNA molecules can be used to interfere with expression of a protein of interest, e.g., a FAT10 protein and/or a FAT10 substrate protein. Typically at least 15, 17, 19, or 21 nucleotides of the complement of the FAT10 mRNA sequence are sufficient for an antisense molecule. Typically at least 19, 21, 22, or 23 nucleotides of a target sequence are sufficient for an RNA interference molecule. The RNA interference molecule may have a 2 nucleotide 3′ overhang. If the RNA interference molecule is expressed in a cell from a construct, for example from a hairpin molecule or from an inverted repeat of the desired sequence, then the endogenous cellular machinery will create the overhangs. RNA interference molecules may include DNA residues, as well as RNA residues.

Inhibitory nucleic acid molecules can be prepared by chemical synthesis, in vitro transcription, or digestion of long dsRNA by Rnase III or Dicer. These can be introduced into cells by transfection, electroporation, or other methods known in the art. See Hannon, G J, 2002, RNA Interference, Nature 418: 244-251; Bernstein E et al., 2002, The rest is silence. RNA 7: 1509-1521; Hutvagner G et al., RNAi: Nature abhors a double-strand. Curr. Opin. Genetics & Development 12: 225-232; Brummelkamp, 2002, A system for stable expression of short interfering RNAs in mammalian cells. Science 296: 550-553; Lee N S, Dohjima T, Bauer G, Li H, Li M-J, Ehsani A, Salvaterra P, and Rossi J. (2002). Expression of small interfering RNAs targeted against HIV-1 rev transcripts in human cells. Nature Biotechnol. 20:500-505; Miyagishi M, and Taira K. (2002). U6-promoter-driven siRNAs with four uridine 3′ overhangs efficiently suppress targeted gene expression in mammalian cells. Nature Biotechnol. 20:497-500; Paddison P J, Caudy A A, Bernstein E, Hannon G J, and Conklin D S. (2002). Short hairpin RNAs (shRNAs) induce sequence-specific silencing in mammalian cells. Genes & Dev. 16:948-958; Paul C P, Good P D, Winer I, and Engelke D R. (2002). Effective expression of small interfering RNA in human cells. Nature Biotechnol. 20:505-508; Sui G, Soohoo C, Affar E-B, Gay F, Shi Y, Forrester W C, and Shi Y. (2002). A DNA vector-based RNAi technology to suppress gene expression in mammalian cells. Proc. Natl. Acad. Sci. USA 99(6):5515-5520; Yu J-Y, DeRuiter S L, and Turner D L. (2002). RNA interference by expression of short-interfering RNAs and hairpin RNAs in mammalian cells. Proc. Natl. Acad. Sci. USA 99(9):6047-6052.

In the present methods, an inhibitory nucleic acid molecule or an inhibitory nucleic acid encoding polynucleotide can be administered to the subject, for example, as naked RNA, in combination with a delivery reagent, and/or as a nucleic acid comprising sequences that express the siRNA or shRNA molecules. In some embodiments the nucleic acid comprising sequences that express the siRNA or shRNA molecules are delivered within vectors, e.g. plasmid, viral and bacterial vectors. Any nucleic acid delivery method known in the art can be used in the methods described herein. Suitable delivery reagents include, but are not limited to, e.g., the Mirus Transit TKO lipophilic reagent; lipofectin; lipofectamine; cellfectin; polycations (e.g., polylysine), atelocollagen, nanoplexes and liposomes. The use of atelocollagen as a delivery vehicle for nucleic acid molecules is described in Minakuchi et al. Nucleic Acids Res., 32(13):e109 (2004); Hanai et al. Ann NY Acad Sci., 1082:9-17 (2006); and Kawata et al. Mol Cancer Ther., 7(9):2904-12 (2008); each of which is incorporated herein in their entirety.

In some embodiments of the methods described herein, liposomes are used to deliver an inhibitory oligonucleotide to a subject. Liposomes suitable for use in the methods described herein can be formed from standard vesicle-forming lipids, which generally include neutral or negatively charged phospholipids and a sterol, such as cholesterol. The selection of lipids is generally guided by consideration of factors such as the desired liposome size and half-life of the liposomes in the blood stream. A variety of methods are known for preparing liposomes, for example, as described in Szoka et al. (1980), Ann. Rev. Biophys. Bioeng. 9:467; and U.S. Pat. Nos. 4,235,871, 4,501,728, 4,837,028, and 5,019,369, the entire disclosures of which are herein incorporated by reference.

The liposomes for use in the present methods can also be modified so as to avoid clearance by the mononuclear macrophage system (“MMS”) and reticuloendothelial system (“RES”). Such modified liposomes have opsonization-inhibition moieties on the surface or incorporated into the liposome structure.

Opsonization-inhibiting moieties for use in preparing the liposomes described herein are typically large hydrophilic polymers that are bound to the liposome membrane. As used herein, an opsonization inhibiting moiety is “bound” to a liposome membrane when it is chemically or physically attached to the membrane, e.g., by the intercalation of a lipid-soluble anchor into the membrane itself, or by binding directly to active groups of membrane lipids. These opsonization-inhibiting hydrophilic polymers form a protective surface layer that significantly decreases the uptake of the liposomes by the MMS and RES; e.g., as described in U.S. Pat. No. 4,920,016, the entire disclosure of which is herein incorporated by reference.

Opsonization inhibiting moieties suitable for modifying liposomes are preferably water-soluble polymers with a number-average molecular weight from about 500 to about 40,000 daltons, and more preferably from about 2,000 to about 20,000 daltons. Such polymers include polyethylene glycol (PEG) or polypropylene glycol (PPG) derivatives; e.g., methoxy PEG or PPG, and PEG or PPG stearate; synthetic polymers such as polyacrylamide or poly N-vinyl pyrrolidone; linear, branched, or dendrimeric polyamidoamines; polyacrylic acids; polyalcohols, e.g., polyvinylalcohol and polyxylitol to which carboxylic or amino groups are chemically linked, as well as gangliosides, such as ganglioside GM1. Copolymers of PEG, methoxy PEG, or methoxy PPG, or derivatives thereof, are also suitable. In addition, the opsonization inhibiting polymer can be a block copolymer of PEG and either a polyamino acid, polysaccharide, polyamidoamine, polyethyleneamine, or polynucleotide. The opsonization inhibiting polymers can also be natural polysaccharides containing amino acids or carboxylic acids, e.g., galacturonic acid, glucuronic acid, mannuronic acid, hyaluronic acid, pectic acid, neuraminic acid, alginic acid, carrageenan; aminated polysaccharides or oligosaccharides (linear or branched); or carboxylated polysaccharides or oligosaccharides, e.g., reacted with derivatives of carbonic acids with resultant linking of carboxylic groups. Preferably, the opsonization-inhibiting moiety is a PEG, PPG, or derivatives thereof. Liposomes modified with PEG or PEG-derivatives are sometimes called “PEGylated liposomes.”

Pharmaceutical Compositions

Pharmaceutical compositions described herein include any inhibitor of the FAT10 pathway, such as an inhibitor of FAT10 activity or, or a pharmaceutically acceptable salt thereof, and a pharmaceutically acceptable carrier or vehicle. The pharmaceutical compositions may further include additional agents for the treatment of cancer and/or immune disorders. Pharmaceutical compositions described herein are useful for inhibiting mitosis, treating cancer and/or treating immune disorders.

A pharmaceutical composition described herein is formulated to be compatible with its intended route of administration. Examples of routes of administration include parenteral, intravenous, intradermal, subcutaneous, oral, transdermal (topical), transmucosal, and rectal administration.

Toxicity and therapeutic efficacy of the agents described herein can be determined by standard pharmaceutical procedures in cell cultures or experimental animals, e.g., for determining the LD50 (the dose lethal to 50% of the population) and the ED50 (the dose therapeutically effective in 50% of the population). The dose ratio between toxic and therapeutic effects is the therapeutic index and it can be expressed as the ratio LD50/ED50. While compounds that exhibit toxic side effects can be used, care should be taken to design a delivery system that targets such compounds to the site of affected tissue in order to minimize potential damage to uninfected cells and, thereby, reduce side effects.

The data obtained from the cell culture assays and animal studies can be used in formulating a range of dosage for use in humans. The dosage of such compounds lies preferably within a range of circulating concentrations that include the ED50 with little or no toxicity. The dosage may vary within this range depending upon the dosage form employed and the route of administration utilized. For any compound used in the methods described herein, the therapeutically effective dose can be estimated initially from cell culture assays. A dose can be formulated in animal models to achieve a circulating plasma concentration range that includes the IC50 (i.e., the concentration of the test compound which achieves a half-maximal inhibition of symptoms) as determined in cell culture. Such information can be used to more accurately determine useful doses in humans. Levels in plasma can be measured, for example, by high performance liquid chromatography.

Appropriate dosage agents depends upon a number of factors within the scope of knowledge of the ordinarily skilled physician, veterinarian, or researcher. The dose(s) of the small molecule will vary, for example, depending upon the identity, size, and condition of the subject or sample being treated, further depending upon the route by which the composition is to be administered.

Therapeutic Methods

Provided herein are methods of treatment of diseases and disorders that can be improved by disrupting the FAT10 pathway. In some embodiments, described herein, are therapeutic methods of treating cancer, including a cancerous tumor, comprising administering to a subject, (e.g., a subject in need thereof), an effective amount of an agent that inhibits FAT10 and/or the FAT10 pathway. In some embodiments, described herein, are therapeutic methods of treating an immune disorder (e.g., an autoimmune disease, an inflammatory disease and/or an allergy), comprising administering to a subject, (e.g., a subject in need thereof), an effective amount of an agent that inhibits FAT10 and/or the FAT10 pathway.

The pharmaceutical compositions described herein can be delivered by any suitable route of administration, including orally, nasally, as by, for example, a spray, rectally, intravaginally, parenterally, intracisternally and topically, as by powders, ointments or drops, including buccally and sublingually. In certain embodiments the pharmaceutical compositions are delivered generally (e.g., via oral or parenteral administration). In certain other embodiments the pharmaceutical compositions are delivered locally through direct injection into a tumor by direct injection into the tumor's blood supply (e.g., arterial or venous blood supply).

In certain embodiments, the methods of treatment described herein include administering an agent that inhibits FAT10 and/or the FAT10 pathway in conjunction with a second therapeutic agent to the subject. For example, when used for treating cancer, such methods may comprise administering pharmaceutical compositions described herein in conjunction with one or more chemotherapeutic agents and/or scavenger compounds, including chemotherapeutic agents described herein, as well as other agents known in the art. When used to treat immune disorders, such methods may include administering pharmaceutical compositions described herein in conjunction with one or more agents useful for the treatment of immune disorders, such as immunosuppressants or other therapeutic agents known in the art.

Conjunctive therapy includes sequential, simultaneous and separate, or co-administration of the active compound in a way that the therapeutic effects of the first agent administered have not entirely disappeared when the subsequent agent is administered. In certain embodiments, the second agent may be co-formulated with the first agent or be formulated in a separate pharmaceutical composition.

In some embodiments, the subject pharmaceutical compositions described herein will incorporate the substance or substances to be delivered in an amount sufficient to deliver to a patient a therapeutically effective amount of an incorporated therapeutic agent or other material as part of a prophylactic or therapeutic treatment. The desired concentration of the active compound in the particle will depend on absorption, inactivation, and excretion rates of the drug as well as the delivery rate of the compound. It is to be noted that dosage values may also vary with the severity of the condition to be alleviated. It is to be further understood that for any particular subject, specific dosage regimens should be adjusted over time according to the individual need and the professional judgment of the person administering or supervising the administration of the compositions. Typically, dosing will be determined using techniques known to one skilled in the art.

In certain embodiments, described herein are therapeutic methods of treating cancer in a subject in need thereof. A subject in need thereof may include, for example, a subject who has been diagnosed with a tumor, including a pre-cancerous tumor, a cancer, or a subject who has been treated, including subjects that have been refractory to the previous treatment.

The methods described herein may be used to treat any cancerous or pre-cancerous tumor. In certain embodiments, the tumor has increased expression of FAT10 protein or mRNA relative to non-tumor tissue (e.g., a non-tumor tissue of the same tissue type as the tumor). Cancers that may treated, prevented or diagnosed by methods and compositions described herein include, but are not limited to, cancer cells from the bladder, blood, bone, bone marrow, brain, breast, colon, esophagus, gastrointestine, gum, head, kidney, liver, lung, nasopharynx, neck, ovary, prostate, skin, stomach, testis, tongue, or uterus. In addition, the cancer may specifically be of the following histological type, though it is not limited to these: neoplasm, malignant; carcinoma; carcinoma, undifferentiated; giant and spindle cell carcinoma; small cell carcinoma; papillary carcinoma; squamous cell carcinoma; lymphoepithelial carcinoma; basal cell carcinoma; pilomatrix carcinoma; transitional cell carcinoma; papillary transitional cell carcinoma; adenocarcinoma; gastrinoma, malignant; cholangiocarcinoma; hepatocellular carcinoma; combined hepatocellular carcinoma and cholangiocarcinoma; trabecular adenocarcinoma; adenoid cystic carcinoma; adenocarcinoma in adenomatous polyp; adenocarcinoma, familial polyposis coli; solid carcinoma; carcinoid tumor, malignant; branchiolo-alveolar adenocarcinoma; papillary adenocarcinoma; chromophobe carcinoma; acidophil carcinoma; oxyphilic adenocarcinoma; basophil carcinoma; clear cell adenocarcinoma; granular cell carcinoma; follicular adenocarcinoma; papillary and follicular adenocarcinoma; nonencapsulating sclerosing carcinoma; adrenal cortical carcinoma; endometroid carcinoma; skin appendage carcinoma; apocrine adenocarcinoma; sebaceous adenocarcinoma; ceruminous adenocarcinoma; mucoepidermoid carcinoma; cystadenocarcinoma; papillary cystadenocarcinoma; papillary serous cystadenocarcinoma; mucinous cystadenocarcinoma; mucinous adenocarcinoma; signet ring cell carcinoma; infiltrating duct carcinoma; medullary carcinoma; lobular carcinoma; inflammatory carcinoma; paget's disease, mammary; acinar cell carcinoma; adenosquamous carcinoma; adenocarcinoma w/squamous metaplasia; thymoma, malignant; ovarian stromal tumor, malignant; thecoma, malignant; granulosa cell tumor, malignant; and roblastoma, malignant; sertoli cell carcinoma; leydig cell tumor, malignant; lipid cell tumor, malignant; paraganglioma, malignant; extra-mammary paraganglioma, malignant; pheochromocytoma; glomangiosarcoma; malignant melanoma; amelanotic melanoma; superficial spreading melanoma; malig melanoma in giant pigmented nevus; epithelioid cell melanoma; blue nevus, malignant; sarcoma; fibrosarcoma; fibrous histiocytoma, malignant; myxosarcoma; liposarcoma; leiomyosarcoma; rhabdomyosarcoma; embryonal rhabdomyosarcoma; alveolar rhabdomyosarcoma; stromal sarcoma; mixed tumor, malignant; mullerian mixed tumor; nephroblastoma; hepatoblastoma; carcinosarcoma; mesenchymoma, malignant; brenner tumor, malignant; phyllodes tumor, malignant; synovial sarcoma; mesothelioma, malignant; dysgerminoma; embryonal carcinoma; teratoma, malignant; struma ovarii, malignant; choriocarcinoma; mesonephroma, malignant; hemangiosarcoma; hemangioendothelioma, malignant; kaposi's sarcoma; hemangiopericytoma, malignant; lymphangiosarcoma; osteosarcoma; juxtacortical osteosarcoma; chondrosarcoma; chondroblastoma, malignant; mesenchymal chondrosarcoma; giant cell tumor of bone; ewing's sarcoma; odontogenic tumor, malignant; ameloblastic odontosarcoma; ameloblastoma, malignant; ameloblastic fibrosarcoma; pinealoma, malignant; chordoma; glioma, malignant; ependymoma; astrocytoma; protoplasmic astrocytoma; fibrillary astrocytoma; astroblastoma; glioblastoma; oligodendroglioma; oligodendroblastoma; primitive neuroectodermal; cerebellar sarcoma; ganglioneuroblastoma; neuroblastoma; retinoblastoma; olfactory neurogenic tumor; meningioma, malignant; neurofibrosarcoma; neurilemmoma, malignant; granular cell tumor, malignant; malignant lymphoma; Hodgkin's disease; Hodgkin's lymphoma; paragranuloma; malignant lymphoma, small lymphocytic; malignant lymphoma, large cell, diffuse; malignant lymphoma, follicular; mycosis fungoides; other specified non-Hodgkin's lymphomas; malignant histiocytosis; multiple myeloma; mast cell sarcoma; immunoproliferative small intestinal disease; leukemia; lymphoid leukemia; plasma cell leukemia; erythroleukemia; lymphosarcoma cell leukemia; myeloid leukemia; basophilic leukemia; eosinophilic leukemia; monocytic leukemia; mast cell leukemia; megakaryoblastic leukemia; myeloid sarcoma; and hairy cell leukemia.

In some embodiments, described herein are thereapeutic methods for treating an immune disorder. Such methods can be used to treat any immune disorder, including an autoimmune disease (e.g., Lupus, Scleroderma, hemolytic anemia, vasculitis, type one diabetes, Grave's disease, rheumatoid arthritis, multiple sclerosis, Goodpasture's syndrome, pernicious anemia and/or myopathy), an inflammatory disease (e.g., acne vulgaris, asthma, celiac disease, chronic prostatitis, glomerulonephritis, inflammatory bowel disease, pelvic inflammatory disease, reprofusion injury, rheumatoid arthritis, sarcoidosis, transplant rejection, vasculitis and/or interstial cystitis), and/or an allergy (e.g., food allergies, drug allergies and/or environmental allergies).

All publications, including patents, applications, and GenBank Accession numbers mentioned herein are hereby incorporated by reference in their entirety as if each individual publication or patent was specifically and individually indicated to be incorporated by reference. In case of conflict, the present application, including any definitions herein, will control.

The invention now being generally described, it will be more readily understood by reference to the following examples, which are included merely for purposes of illustration of certain aspects and embodiments of the present invention, and are not intended to limit the invention.

EXEMPLIFICATION Materials and Methods

HeLa S3 cells were synchronized in prometaphase by treatment with nocodazole. Cells were incubated in thymidine-containing (2 mM) medium for 24 hours. Cells were released into fresh medium for 8 hours, followed by a nocodazole arrest (0.1 μg/mL) for 12 hours. Cells were harvested, washed with PBS, and processed for extraction.

To deplete FAT10 and Ube2z, Dharmacon siGENOME SMARTpool against FAT10 or Ube2z (M-008266-03 and M-008596-02, respectively), were used in all experiments at a final concentration of 20 nM. As a control Dharmacon siGENOME Non-Targeting siRNA Pool #1 and #2 were used at 20 nM (D-001206-13-05 and D-001206-14-05, respectively). siRNA transfection was performed using Oligofectamine (Invitrogen) according to the manufacturer's instructions.

Cells were seeded in glass-bottom plates (MatTek) in CO2-independent medium (Invitrogen) supplemented with 10 FBS, 100 U/ml penicillin and 100 μg/ml streptomycin. For fluorescent time-lapse imaging cells were seeded in phenol red-free CO2-independent medium (Invitrogen). Image acquisition was performed using Nikon TE2000 automated inverted microscope with a 20 objective enclosed in a humidified incubation chamber maintained at 37° C. Images were collected every 15 minutes using a motorized stage. Images were viewed and analyzed using MetaMorph software (Molecular Dynamics).

Extracts were prepared as described in Merbl and Kirschner, Proc Natl Acad Sci USA 106:2543-2548 (2009), Rape and Kirschner, Nature 432:588-595 (2004) and Storey et al., Biostatistics 8:414-432 (2007), each of which is incorporated by reference in its entirety. and incubated on microarrays as described in Merbl and Kirschner, Proc Natl Acad Sci USA 106:2543-2548 (2009) with the following primary antibodies: polyubiquitin antibody (FK1; Biomol), SUMO2/3 (Cell Signaling), NEDD8 (Cell signaling), FAT10 (Enzo life sciences), SUMO1 (Cell signaling), UFM1 (BioMol) and ISG15 (Cell signaling). Antibodies were diluted 1:250 and detected using fluorescently-labeled secondary antibodies.

The Degradation assay was performed as described in Williamson et al., Methods Mol Biol 545:301-312, which is incorporated by reference in its entirety.

For microarray scanning and data processing, Images were acquired using a GenePix 4000B scanner and processed as described in in Merbl and Kirschner, Proc Natl Acad Sci USA 106:2543-2548 (2009).

For Constructing the Ubl network, data were normalized using the quantile normalization algorithm for each modification separately. In order to establish an unbiased method for identifying the reactive proteins in each Ubl reactivity profile, the signal intensity of each protein was plotted as a function of their corresponding RFU and binned into 100 bins along the RFU range. The RFU value was determined during the quality control procedure for each ‘batch’ of microarray production. Since every protein that is spotted on the array is expressed and purified with a GST tag, amount of material in each spot can be estimated based on the reactivity value towards a labeled anti-GST antibody. Thus, using both the signal intensity value and the amount of protein in each spot the set of targets for each Ubl was identified. Next, in order to establish an unbiased method for identifying the reactive proteins in each Ubl reactivity profile, the signal intensity of each protein was plotted as a function of their corresponding RFU values and binned into 100 bins along the RFU range (see FIG. 1). The mean value and standard deviation (SD) of the signal intensities in each bin were calculated and the best fit line of each measure was calculated using linear least square regression analysis. The distance of the SD from the line for each bin was calculated. Based on the complementary error function a p-value was assigned for each protein and a threshold level of p<0.01 (after false discovery rate (FDR) correction) was set in order to identify the reactive targets from each Ubl profile.

The mean value and SD of the signal intensities in each bin were calculated and the best fit line of each measure was calculated using linear least square regression analysis. The distance of the SD from the line for each bin was calculated. Based on the complementary error function:

$\begin{matrix} {{{erfc}(x)} = {1 - {{erf}(x)}}} \\ {= {\frac{2}{\pi}{\int_{x}^{\infty}{e^{- t^{2}}{{dt}.}}}}} \end{matrix}\quad$

a p-value was assigned for each protein. The error function represents the probability that the parameter of interest is within a range between −x/σ√2 and x/σ√2, while the complementary error function provides the probability that the parameter is outside that range. A threshold level of p<0.01 (after false discovery rate (FDR) correction) was set in order to select the set of ‘positive’ targets from each Ubl profile. A total of 1543 target proteins passed the threshold for at least one of the modifications.

To identify Ubl targets that are differentially modified upon mitotic release, the reactivity level of each protein was compared in different conditions using the ANOVA test (4 duplicate spots per condition). Significance was determined based on Storey's pvalue correction.

The in vitro SUMOylation analysis was performed as follows. E1, and E2 enzymes were added to a S35-radioactively labeled substrate with recombinant SUMO1, SUMO2 or SUMO3. The reaction was supplemented with ATP and allowed to run in room temperature for 2 hours. As a negative control, the same reaction is performed without the addition of the E1 enzyme and ran for the same amount of time (the right lane of each gel). Reactions are stopped by addition of sample buffer containing 5%β-mercaptoethanol. To identify modified substrates the samples were analyzed by SDS-PAGE and phosphorimaging. The formation of a higher molecular-weight species (ladder) signifies the substrate's modification.

Example 1 Global Identification of Ubiquitin and Ubl Targets in Mitosis

An assay in which concentrated cell extracts were applied directly to microarrays and the modification of a subset of proteins was determined using modification-specific antibodies was used to explore the role of several ubiquitin-like modifications (Ubiquitin, SUMO2/3, NEDD8, FAT10, SUMO1, UFM1 and ISG15) in mitotic regulation. For these seven modifications, the modification state of thousands of proteins before and after release from mitotic arrest were profiled (FIG. 2). These extracts promote full checkpoint arrest and APC inhibition and to be relieved of that inhibition by Ubch10. Extracts were applied to duplicate microarrays for each modification under each of two conditions: ‘arrested’ (blocked in mitosis with nocadazole) and ‘released’ (released into anaphase/G1 from that block by Ubch10) for a total of 28 microarrays. The mean reactivity of each target protein was then calculated from four replicate spots (2 spots per array×2 replicates).

The subsequent analysis focused on highly reactive proteins, defined as having a specific reactivity greater than 2 standard deviations above the mean for each Ubl modification (when normalized to the protein abundance on the chip; see materials and methods and FIG. 1). All proteins passing these criteria also have a reactivity significantly higher than the background reactivity of negative control spots, which contain either no protein, or else the GST-tag alone, or bovine serum albumin. Each Ubl reacted with 158-506 proteins that exhibited Ubl reactivity greater than the threshold. 1543 such target proteins highly reactive to at least one of the Ubls were identified (FIG. 3). For ubiquitin, which is the most investigated protein in this family, approximately 70% of the targets previously identified were confirmed either in vitro or in vivo as ubiquitylation substrates. Thus, the false-negative rate of the assay was low.

Example 2 The Ubl Modification Network

Each reactive protein target's interaction with each of the seven Ubl modifications were characterized (FIG. 3). Some proteins are reactive to just one Ubl (e.g. Rad23a. which exhibited high reactivity only towards ubiquitin), while others react with multiple Ubls (e.g. Igf1R). Several examples of such interactions were previously reported and are shown in FIG. 4A. Among these, a few have been identified only recently.

To identify global patterns of Ubl modifications, the different targets for each Ubl were mapped into an “interaction network” (FIG. 4B). The network consists of seven hubs, corresponding to the Ubls, and multiple nodes representing each one of the target proteins. Edges between the hubs and nodes represent the PTM interactions. The network reveals the interaction of the different Ubls with their targets, and their degree of specificity. Most of the Ubl targets (65% of 1543) map just to a single Ubl (FIG. 4B, proteins assembled at the rim of the graph), whereas the remaining targets (35%) map to at least two Ubls (proteins in the center of the graph). Thus, most proteins are regulated primarily by one Ubl, though this varied from Ubl to Ubl. For example, only 20% were unique to SUMO1, whereas 68% of FAT10 targets were unique to FAT10 (FIG. 4C).

The network (FIG. 4B) reveals that, a large number of target proteins interact with multiple Ubls, with a few (2.6%) interacting with five or more modifications (nodes in the center of the network). This pattern suggests that there is considerable specificity in Ubl modification.

To characterize the statistical implications of a network of seven independent Ubl modifications, the fraction of nodes (protein targets), F_(n), with 1≦n≦7 edges connecting them to hubs corresponding to the seven Ubl modifications were considered. If the different Ubl modifications were independent of each other, then F_(n) should correspond to a multinomial distribution, where the edges from each of the seven hubs is assigned to targets at random. To test whether this is the case, 5000 random permutations of the network that preserved the number of edges from each hub were generated, and the resulting edge distribution F_(n) to the empirical data were compared (FIG. 5). The analysis shows that the number of unique targets F₁ (proteins targeted by only one Ubl), was higher than would be expected by chance (65% observed versus 52±1.4% expected), while the fraction F₂ of doubly-modified targets was much lower than expected by chance (19% observed versus 34±1% expected). Therefore, on average, the subset of doubly-modified targeted proteins (F₂) appear to be anti-correlated: a protein modified by one Ubl is less likely to be targeted by another.

The low abundance of doubly-modified targets suggests that certain Ubl combinations might be permitted while the majority is not (FIG. 5). A pair-wise correlation analysis of Ubl modifications confirmed that, indeed, most of the possible double Ubl interactions are strongly suppressed. However, certain Ubl combinations are over-represented in the correlation map, indicating that certain Ubls often co-target the same substrates. For example, there was high correlation between SUMO1 and SUMO2/3 targets (R=0.58), as well as between UFM1 and FAT10 modifications (R=0.63).

The enrichment of the network for exclusive Ubl targets (F₁) can be studied by comparing specific Ubl reactivity combinations to the predictions of randomized permutations. Since 7 Ubls were profiled, 127 (2̂7−1) possible “reactivity states” for different Ubls combinations/patterns were identified. For single-targeted proteins, only FAT10 and UFM1 exhibited a higher frequency of exclusive targets compared to random: 324 unique FAT10 targets were observed when 161 were expected, and 202 UFM1 targets were observed compared to 108 expected, suggesting that the functions of the FAT10 and UFM1 systems are largely insulated from the activity of other Ubls. The other Ubls (e.g. ubiquitin, SUMO1, SUMO2/3) exhibited the same frequency of exclusive targets as would be expected by chance, suggesting that these parallel pathways evolved independently. Thus, the over-representation of unique substrates is largely dominated by UFM1 and FAT10.

Example 3 Cellular and Functional Classification of Ubl Targets

To examine whether the different Ubl pathways might be targeted to specific categories of proteins, or associated with distinct classes of biological processes, over-represented Gene Ontology (GO) terms for Ubl target protein annotations were identified using the Panther database (http://www.pantherdb.org). For each Ubl, the enrichment for GO terms identified with its substrates was determined. Functional terms were scored based on their enrichment compared to the complete list of target proteins with significant enrichment determined by p-value<0.1 (corrected for false discovery rate). By comparing the targets of each Ubl to the list of reactive proteins only, false-positive enrichments that could arise from biases in the representation of protein subsets on the chip were limited. FIG. 6 presents the molecular functions (the function that the protein performs on its direct molecular targets) related to the targets of each Ubl, while FIG. 7 presents the biological processes (the systems to which the protein contributes). Each column represents one Ubl (with enriched terms shaded).

The only over-represented categories in the cell cycle were ‘mitosis’ and ‘cytokinesis’, indicating that the assay preferentially identified proteins involved in mitotic regulation. Known biological functions of Ubiquitin and SUMO were enriched (FIG. 6). For example, ubiquitylation targets are the only ones enriched for the ‘Ubiquitin ligase activity’ term, with numerous targets categorized as E3 ligases or ‘ring finger’ proteins. In addition, SUMO1 and SUMO2/3 targets are uniquely enriched for transcriptional-related terms and DNA binding corresponding to their role in transcriptional regulation.

The assay revealed a class of ‘translation initiation factors’ targeted by the ISG15 modification (FIG. 3). UFM1 targets were enriched in transmembrane transporters, ion channels and cytokine receptors, and FAT10 targets were enriched for SNAP receptors, proteins related to extracellular matrix activity and DNA helicases.

Kinases were enriched in the set of Ubl targets (FIG. 6). Specifically, SUMO1 and SUMO2/3 together targeted 181 of the 189 kinases (FIGS. 6) that were reactive in the assay. Among these, 20 known mitotic kinases were found. The SUMOylation of Polo-like kinase 1 (Plk1) and Cyclin dependent kinase-1 (Cdk1) as well as other kinases were confirmed in vitro (FIG. 8).

Many of the Ubls were implicated in a common set of biological processes (FIG. 7) that include cell cycle regulation, apoptosis, angiogenesis, cell adhesion and embryonic development. FAT10 and UFM1 are the exceptions: FAT10 targets were over-represented in ‘antigen processing and presentation via MHC class II’ and ‘cellular calcium homeostasis’, while UFM1 targets were implicated in pathways classified as ‘endocytosis’, ‘hemopoeisis’, ‘neurotransmitter secretion’ and ‘lipid transport’. Both FAT10 and UFM1 also had a significant number of targets in the mitosis/cytokinesis pathways. For example, 27 of the proteins modified by FAT10 were cell cycle regulators, 19 of which were mitosis-related.

Example 4 Differential Regulation of FAT10 Upon Release from Mitotic Arrest

To examine prometaphase arrest to anaphase/G1 under conditions that minimized variation in the extracts, a nocodazole-arrested HeLa cell extract (checkpoint arrested; denoted ‘arrested’) was compared with the same extract supplemented with the E2 enzyme, Ubch10, which relieves mitotic arrest (denoted as ‘released’) and drives the cell into anaphase and Gl. The reactivity level of each protein towards each of the Ubls was calculated for these two conditions, using two microarrays per condition. An ANOVA test performed for the reactivity of each protein under these conditions (whose p-values were corrected using Storey's false discovery rate method) showed that the reactivity for both ubiquitin and FAT10 had the most significant changes (q-value<0.1) upon release from the arrested into the released state (FIG. 9).

FIG. 9 depicts examples of FAT10 reactivity levels for several proteins under the two conditions. Most of these statistically significant changes in FAT10 level represented dramatic decreases of two to three orders of magnitude. This effect could not be explained by the variability of the assay and persisted if different antibodies were used (FIG. 10, top) or more stringent washing conditions were used (FIG. 10, bottom). Thus, 106 proteins showed a significant difference, either an increase in FAT10ylation (30 proteins) or a decrease (76 proteins), between the arrested and released conditions in FAT10 reactivity patterns (q<0.002).

Example 5 FAT10 is Involved in Cell Cycle Regulation and Mitotic Progression

Among the proteins that showed a change in FAT10 signal intensity were those that mapped onto a known interaction network related to cell cycle regulation (e.g. securin, cull, septin 6 and cdk3; see FIG. 11), indicating that the FAT10 pathway is important for mitosis. Indeed, when this list of FAT10 changes were compared to a database of the phenotypic outcomes of a genome-wide RNA interference screen, it was revealed that 8 of the candidates have a mitotic phenotype (delay) upon knockdown and 2 additional genes to have a ‘death phenotype’ (FIG. 12).

The only known E2-conjugation enzyme for the FAT10 pathway is Ube2z, a protein that is highly conserved in vertebrates and is expressed at high levels in various human cancer cell lines from the NCI-60 collection. Using immunofluorescence, it was determined that Ube2z is ubiquitously expressed both in interphase and mitosis in HeLa cells (FIG. 13). To measure levels of Ube2z in mitosis, cells were synchronized using double-thymidine block and released them into fresh media. Ube2z levels were high during G2/M and dropped precipitously in mitosis with similar timing to that of securin degradation (FIG. 14). When the cells were released from the thymidine block into nocodazole, Ube2z was completely stable even 15 hours after the release (FIG. 15). The timing of the degradation of Ube2z indicates that it may be required for the mitotic checkpoint and that its degradation may be regulated in an APC dependent manner.

To determine if Ube2z is an APC substrate, the ability of the specific APC inhibitory protein, Emil, to inhibit Ube2z degradation in mitotic extracts was tested. In the absence of Emil, Ube2z levels dropped gradually within 90 minutes (80% reduction). In the presence of Emil the degradation of Ube2z is completely blocked, indicating that Ube2z levels are regulated by APC.

To look at the regulatory role of FAT10 in mitosis, the effects of inhibiting FAT10ylation via either a knockdown of FAT10, or by knockdown of its E2-conjugating enzyme, Ube2z were examined. HeLa cells were transfected with either siRNA against FAT10 or Ube2z, or with control siRNA and allowed the cells to grow for 72 hours. In both knockdowns but not in the control there was a substantial increase in the duration of mitosis, eventually leading to cell death (FIG. 16). When the average duration in mitosis was quantified (FIG. 17), it was found that cells stayed in mitosis at least twice as long, on average than controls (5.93±1.96 and 8.48±2.58 hours for Ube2z and FAT10, respectively), when compared to cells transfected with control siRNA (2±0.8 hours). Thus, both the inhibition of FAT10 and the inhibition of Ube2z extended mitotic arrest triggered cell death (FIG. 18).

Example 6 Loss of FAT10 Function Inhibits Cancer Progression

The role of FAT10 in tumor development was investigated using a mouse tumor model for subcutaneous melanoma. The subcutaneous model is widely used for the evaluation of therapy in many tumor models, including B16 melanoma. C57BL/6 wild-type (wt; n=7) mice or FAT10 knockout (KO; n=8) mice (C57BL/6 background) were injected subcutaneously with B16 melaoma tumor cells. A dose of 1×10⁵ cells/mouse, which is 1.5 to 2 times the minimal tumorigenic dose in normal C57BL/6 mice, was used for both control and KO mice. Upon subcutaneous injection, B16 form a palpable tumor in 5 to 10 days and grew to a 1 cm tumor in 14 to 21 days. Tumor growth was manually inspected and measured every other day and recorded accordingly.

As depicted in FIG. 21, deficiency of FAT10 inhibited the ability of tumors to grow in mice and resulted in a significantly slower rate of tumor growth in the KO mice when compared to the wt. Since the the tumor cells that were injected to both the control and KO mice were identical, the difference in tumor growth observed cannot be the result of a difference in the tumor cells themselves, but rather reflect the ability of the environment to support tumor cell growth.

Inhibition of tumor growth in FAT10 deficient mice may be the result of difference in immune function. Analysis of cDNA microarray data suggested that FAT10 is expressed in several types of immune cells and conditions (FIG. 22). Indeed, increased FAT10 mRNA levels were detected by qPCR upon activation of NK, dendritic cells and macrophages that were isolated from wild-type C57BL/6 mice and activated in vitro. 

We claim:
 1. A method of inhibiting mitosis in a cell comprising contacting the cell with an agent that inhibits the FAT10 pathway in the cell.
 2. The method of claim 1, wherein the agent inhibits the FAT10 pathway by inhibiting the activity or expression of FAT10 in the cell.
 3. The method of claim 1, wherein the agent is a small molecule, a polypeptide or an inhibitory nucleic acid.
 4. The method of claim 3, wherein the agent is a small molecule that inhibits FAT10 activity.
 5. The method of claim 3, wherein the agent is an inhibitory nucleic acid specific for an mRNA that encodes FAT10.
 6. The method of claim 5, wherein the inhibitory nucleic acid is selected from the group consisting of siRNA, shRNA, and an antisense RNA molecule, or a nucleic acid that encodes a molecule selected from the group consisting of siRNA, shRNA, and/or an antisense RNA molecule.
 7. The method of claim 1, wherein the agent inhibits the conjugation of FAT10 with a FAT10 substrate.
 8. The method of claim 7, wherein the FAT10 substrate is encoded by a nucleic acid having a sequence selected from SEQ ID NO: 3-465.
 9. The method of claim 1, wherein the cell is a cancer cell or an immune cell.
 10. The method of claim 9, wherein the cell is in a subject who has or is suspected of having cancer or an immune disorder.
 11. A method of treating cancer in a subject comprising administering to the subject an agent that inhibits the FAT10 pathway.
 12. The method of claim 11, wherein the agent inhibits the FAT10 pathway by inhibiting the activity or expression of FAT10.
 13. The method of claim 11, wherein the agent is a small molecule, a polypeptide or inhibitory nucleic acid.
 14. The method of claim 13, wherein the agent is a small molecule that inhibits FAT10 activity.
 15. The method of claim 13, wherein the agent is an inhibitory nucleic acid specific for an mRNA that encodes FAT10.
 16. The method of claim 15, wherein the inhibitory nucleic acid is selected from the group consisting of siRNA, shRNA, and an antisense RNA molecule, or a nucleic acid that encodes a molecule selected from the group consisting of siRNA, shRNA, and/or an antisense RNA molecule.
 17. The method of claim 11, wherein the agent inhibits the formation of a conjugate between FAT10 and a FAT10 substrate.
 18. The method of claim 17, wherein the FAT10 substrate is encoded by a nucleic acid having a sequence selected from SEQ ID NO: 3-465.
 19. A method of treating an immune disorder in a subject comprising administering to the subject an agent that inhibits the FAT10 pathway.
 20. The method of claim 19, wherein the agent inhibits the FAT10 pathway by inhibiting the activity or expression of FAT10.
 21. The method of claim 19, wherein the agent is a small molecule, a polypeptide or an inhibitory nucleic acid.
 22. The method of claim 21, wherein the agent is a small molecule that inhibits FAT10 activity.
 23. The method of claim 21, wherein the agent is an inhibitory nucleic acid specific for an mRNA that encodes FAT10.
 24. The method of claim 23, the inhibitory nucleic acid is selected from the group consisting of siRNA, shRNA, and an antisense RNA molecule, or a nucleic acid that encodes a molecule selected from the group consisting of siRNA, shRNA, and/or an antisense RNA molecule.
 25. The method of claim 19, wherein the agent inhibits the formation of a conjugate between FAT10 and a FAT10 substrate.
 26. The method of claim 25, wherein the FAT10 substrate is encoded by a nucleic acid having a sequence selected from SEQ ID NO: 3-465.
 27. A method of determining whether a test agent is a candidate therapeutic agent for the treatment of cancer comprising: a) forming a test reaction mixture comprising a FAT10 protein, a FAT10 substrate, a concentrated mammalian cell extract and a test agent; b) incubating the test reaction under conditions conducive for the formation of a conjugate between the FAT10 protein and the FAT10 substrate; and c) determining the amount of the conjugate in the test reaction mixture; wherein a test agent that reduces the amount of the conjugate in the test reaction mixture compared to the amount of the conjugate in a control reaction mixture is a candidate therapeutic agent for the treatment of cancer.
 28. The method of claim 27, wherein the FAT10 substrate is a protein encoded by a nucleic acid of SEQ ID NO: 3-465.
 29. The method of claim 27, wherein the control reaction mixture is substantially identical to the test reaction mixture except that the control reaction mixture does not comprise a test agent.
 30. The method of claim 27, wherein the control reaction mixture is substantially identical to the test reaction mixture except that the control reaction mixture comprises a placebo agent instead of a test agent.
 31. The method of claim 27, wherein the FAT10 protein is linked to a detectable moiety.
 32. The method of claim 31, wherein the FAT10 substrate is anchored to a solid support.
 33. The method of claim 32, further comprising the step of isolating the conjugate from unconjugated FAT10 protein.
 34. The method of claim 27, wherein the FAT10 substrate is linked to a detectable moiety.
 35. The method of claim 34, wherein the FAT10 protein is anchored to a solid support.
 36. The method of claim 35, further comprising the step of isolating the conjugate from unconjugated FAT10 substrate.
 37. A method of determining whether a test agent is a candidate therapeutic agent for the treatment of an immune disorder comprising: a) forming a test reaction mixture comprising a FAT10 protein, a FAT10 substrate, a concentrated mammalian cell extract and a test agent; b) incubating the test reaction under conditions conducive for the formation of a conjugate between the FAT10 protein and the FAT10 substrate; and c) determining the amount of the conjugate in the test reaction mixture; wherein a test agent that reduces the amount of the conjugate in the test reaction mixture compared to the amount of the conjugate in a control reaction mixture is a candidate therapeutic agent for the treatment of an immune disorder.
 38. The method of claim 37, wherein the FAT10 substrate is a protein encoded by a nucleic acid of SEQ ID NO: 3-465.
 39. The method of claim 37, wherein the control reaction mixture is substantially identical to the test reaction mixture except that the control reaction mixture does not comprise a test agent.
 40. The method of claim 37, wherein the control reaction mixture is substantially identical to the test reaction mixture except that the control reaction mixture comprises a placebo agent instead of a test agent.
 41. The method of claim 37, wherein the FAT10 protein is linked to a detectable moiety.
 42. The method of claim 41, wherein the FAT10 substrate is anchored to a solid support.
 43. The method of claim 42, further comprising the step of isolating the conjugate from unconjugated FAT10 protein.
 44. The method of claim 37, wherein the FAT10 substrate is linked to a detectable moiety.
 45. The method of claim 44, wherein the FAT10 protein is anchored to a solid support.
 46. The method of claim 45, further comprising the step of isolating the conjugate from unconjugated FAT10 substrate.
 47. A method of determining whether a test agent is a candidate therapeutic agent for the treatment of cancer comprising: a) contacting a cell or cell extract with the test agent; and b) detecting the expression or activity of FAT10 in the cell or cell extract; wherein a test agent that decreases the expression or activity of FAT10 is a candidate therapeutic agent for treating cancer.
 48. The method of claim 47, wherein the expression of FAT10 is detected in the cell by detecting FAT10 mRNA level or FAT10 protein level.
 49. The method of claim 47, wherein the activity of FAT10 is detected in the cell or cell extract by detecting a conjugate comprising FAT10 and a FAT10 substrate.
 50. The method of claim 49, wherein the FAT10 substrate is a protein encoded by a nucleic acid of SEQ ID NO: 3-465.
 51. A method of determining whether a test agent is a candidate therapeutic agent for the treatment of an immune disorder comprising: a) contacting a cell, a tissue sample or a cell extract with the test agent; and b) detecting the expression or activity of FAT10 in the cell, tissue sample or cell extract; wherein a test agent that decreases the expression or activity of FAT10 is a candidate therapeutic agent for the treatment of an immune disorder.
 52. The method of claim 51, wherein the expression of FAT10 is detected by detecting FAT10 mRNA level or FAT10 protein level in the cell.
 53. The method of claim 51, wherein the activity of FAT10 is detected in the cell or cell extract by detecting a conjugate comprising FAT10 and a FAT10 substrate.
 54. The method of claim 53, wherein the FAT10 substrate is a protein encoded by a nucleic acid sequence selected from SEQ ID NO: 3-465. 